{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T11:26:01Z","timestamp":1742988361704,"version":"3.40.3"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031107658"},{"type":"electronic","value":"9783031107665"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-10766-5_27","type":"book-chapter","created":{"date-parts":[[2022,7,21]],"date-time":"2022-07-21T14:14:51Z","timestamp":1658412891000},"page":"336-350","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Real-Time Piracy Detection Based on Thermogram Analysis and Machine Learning Techniques"],"prefix":"10.1007","author":[{"given":"B.","family":"Sanjana","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M.","family":"Sirisha","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pruthvi","family":"Dinesh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"G. R. Sunil","family":"Kumar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Surekha","family":"Borra","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,7,22]]},"reference":[{"issue":"3","key":"27_CR1","doi-asserted-by":"publisher","first-page":"46","DOI":"10.4018\/jaci.2012070104","volume":"4","author":"D Quinn","year":"2012","unstructured":"Quinn, D., Chen, L., Mulvenna, M.: Social network analysis: a survey. Int. J. Ambient Comput. Intell. (IJACI) 4(3), 46\u201358 (2012)","journal-title":"Int. J. Ambient Comput. Intell. (IJACI)"},{"issue":"2","key":"27_CR2","doi-asserted-by":"publisher","first-page":"30","DOI":"10.4018\/IJACI.2020040102","volume":"11","author":"P Kaur","year":"2020","unstructured":"Kaur, P., Gupta, S., Dhingra, S., Sharma, S., Arora, A.: Towards content-dependent social media platform preference analysis. Int. J. Ambient Comput. Intell. (IJACI) 11(2), 30\u201347 (2020)","journal-title":"Int. J. Ambient Comput. Intell. (IJACI)"},{"issue":"3","key":"27_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.4018\/IJACI.2020070101","volume":"11","author":"S Angadi","year":"2020","unstructured":"Angadi, S., Nandyal, S.: Human identification system based on spatial and temporal features in the video surveillance system. Int. J. Ambient Comput. Intell. (IJACI) 11(3), 1\u201321 (2020)","journal-title":"Int. J. Ambient Comput. Intell. (IJACI)"},{"key":"27_CR4","doi-asserted-by":"publisher","unstructured":"Kumar, B.V.V.R., Vardhan, B.A., Gupta, C.H.R., Surekha, P.: Reduction of movie piracy using an automated anti-piracy screen recording system: anti-piracy screen recording system. In: 2019 4th International Conference on Information Systems and Computer Networks (ISCON), pp. 301\u2013304, November 2019. https:\/\/doi.org\/10.1109\/ISCON47742.2019.9036271","DOI":"10.1109\/ISCON47742.2019.9036271"},{"key":"27_CR5","unstructured":"Chandana, P.S., Rekha, D.M., Akshatha, H.M., Raghavendra, Y.M., Pallavi, S.: Movie piracy reduction using automated infrared transmitter screen system and steganography technique. Int. J. Eng. Res. Technol. 8(13) (2020)"},{"key":"27_CR6","unstructured":"Asborn, T., Prem Kumar, L., Michael Jose, S., Santhosh Kumar, M.: Anti-piracy screening system. Int. J. Innov. Res. Technol. 6(2) (2019)"},{"key":"27_CR7","doi-asserted-by":"crossref","unstructured":"Ankalage, S.S., Nagarathna N., Venu, L., Sandeep, N.: Anti-piracy screening system. Int. J. Eng. Res. Technol. 9(05) (2020)","DOI":"10.17577\/IJERTV9IS050547"},{"key":"27_CR8","unstructured":"Raut, G., Bakade, K., Kulkarni, S.V.: IR based theatre piracy reduction by using image processing. Int. J. Adv. Res. Comput. Commun. Eng. 7(3) (2018)"},{"key":"27_CR9","unstructured":"Abhishek, K.A., Chetan, G., Deepak, M.S., Akash, M., Rohith, M.N.: Camcorder piracy-RFID based anti-piracy screen. Int. J. Sci. Res. Dev. 6(03) (2018)"},{"key":"27_CR10","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"827","DOI":"10.1007\/978-981-15-5400-1_78","volume-title":"Intelligent System Design","author":"J Khan","year":"2021","unstructured":"Khan, J., Shenoy, A., Bhavana, K.M., Savalgi, M.S., Borra, S.: Secure anti-piracy system. In: Satapathy, S.C., Bhateja, V., Janakiramaiah, B., Chen, Y.-W. (eds.) Intelligent System Design. AISC, vol. 1171, pp. 827\u2013835. Springer, Singapore (2021). https:\/\/doi.org\/10.1007\/978-981-15-5400-1_78"},{"key":"27_CR11","doi-asserted-by":"crossref","unstructured":"Chen, Y., et al.: Movie piracy tracking using temporal psychovisual modulation. In: 2017 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB), pp. 1\u20134 (2017)","DOI":"10.1109\/BMSB.2017.7986217"},{"issue":"5","key":"27_CR12","doi-asserted-by":"publisher","first-page":"202","DOI":"10.3103\/S0735272719050029","volume":"62","author":"D Shukla","year":"2019","unstructured":"Shukla, D., Sharma, M.: Digital movies tracking using scene-based watermarking system. Radioelectron. Commun. Syst. 62(5), 202\u2013213 (2019). https:\/\/doi.org\/10.3103\/S0735272719050029","journal-title":"Radioelectron. Commun. Syst."},{"key":"27_CR13","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1016\/j.imavis.2018.06.001","volume":"76","author":"R Roopalakshmi","year":"2018","unstructured":"Roopalakshmi, R.: A brand new application of visual-audio fingerprints: estimating the position of the pirate in a theater - a case study. Image Vis. Comput. 76, 48\u201363 (2018)","journal-title":"Image Vis. Comput."},{"key":"27_CR14","unstructured":"Rejeti, V.K.K., Gowtham, J., Hemanth, B.: Preventing movie piracy. Int. J. Adv. Res. Sci. Eng. Technol. 7 (2020)"},{"key":"27_CR15","unstructured":"Akshatha, S., Deepika Vishwanath, K., Neetha, C., Raksha, V.M., Manjula Devi, T.H.: Card based anti-piracy screening system. Trans. Electr. Electron. Eng. 4 (2016)"},{"key":"27_CR16","doi-asserted-by":"crossref","unstructured":"Thakur, P.S., Kumar, S.: Technique for estimation of the position of the pirate in-theater piracy. In: 2015 Second International Conference on Advances in Computing and Communication Engineering, pp. 515\u2013518 (2015)","DOI":"10.1109\/ICACCE.2015.122"},{"key":"27_CR17","doi-asserted-by":"crossref","unstructured":"Dubey, N., Modi, H.: A robust discrete wavelet transform based adaptive watermarking scheme in YCbCr color space against camcorder recording in cinema\/movie theatres. Eng. Sci. (2021)","DOI":"10.30919\/es8d491"},{"key":"27_CR18","doi-asserted-by":"publisher","unstructured":"Borra, S., Viswanadha Raju, S., Lakshmi, H.R.: Visual cryptography based lossless watermarking for sensitive images. In: Panigrahi, B.K., Suganthan, P.N., Das, S., Satapathy, S.C. (eds.) SEMCCO 2015. LNCS, vol. 9873, pp. 29\u201339. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-48959-9_3","DOI":"10.1007\/978-3-319-48959-9_3"},{"key":"27_CR19","unstructured":"Borra, S., Dey, N., Ashour, A.S., Shi, F.: Digital image watermarking tools: state-of-the-art. In: ITITS, pp. 450\u2013459, August 2017"},{"issue":"4","key":"27_CR20","doi-asserted-by":"publisher","first-page":"823","DOI":"10.1007\/s10772-021-09818-y","volume":"24","author":"HR Lakshmi","year":"2021","unstructured":"Lakshmi, H.R., Borra, S.: Difference expansion based reversible watermarking algorithms for copyright protection of images: state-of-the-art and challenges. Int. J. Speech Technol. 24(4), 823\u2013852 (2021). https:\/\/doi.org\/10.1007\/s10772-021-09818-y","journal-title":"Int. J. Speech Technol."},{"key":"27_CR21","unstructured":"Borra, S., Thanki, R., Dey, N.: Digital Image Watermarking: Theoretical and Computational Advances. Series: Intelligent Signal Processing and Data Analysis. CRC Press, Taylor & Francis Group (2018). [ISBN 9781138390638]"},{"key":"27_CR22","doi-asserted-by":"crossref","unstructured":"Lakshmi, H.R., Borra, S.: Digital video watermarking tools an overview. Int. J. Inf. Comput. Secur. 16(1,2), 1\u201319 (2021). [Indexed in Scopus, EI, ACM]. [ISSN 17441765]","DOI":"10.1504\/IJICS.2021.117391"},{"key":"27_CR23","doi-asserted-by":"crossref","unstructured":"Thanki, R., Borra, S.: A survey on prevention techniques for camcorder video piracy in movie theatres. Recent Pat. Eng. 15(1) (2021)","DOI":"10.2174\/1872212115666201208000236"}],"container-title":["Communications in Computer and Information Science","Computational Intelligence in Communications and Business Analytics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-10766-5_27","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,16]],"date-time":"2022-11-16T17:14:19Z","timestamp":1668618859000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-10766-5_27"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031107658","9783031107665"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-10766-5_27","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"22 July 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CICBA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Intelligence in Communications and Business Analytics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Silchar","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"India","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 January 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 January 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"cicba2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.cicba.in","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMT","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"107","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"21","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"13","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"20% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}